{"id":"https://openalex.org/W3095499717","doi":"https://doi.org/10.1142/s0219467821500212","title":"Region of Interest-Based Coding Technique of Medical Images Using Varying Grading of Compression","display_name":"Region of Interest-Based Coding Technique of Medical Images Using Varying Grading of Compression","publication_year":2020,"publication_date":"2020-10-31","ids":{"openalex":"https://openalex.org/W3095499717","doi":"https://doi.org/10.1142/s0219467821500212","mag":"3095499717"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467821500212","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500212","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041458695","display_name":"Urvashi Sharma","orcid":"https://orcid.org/0000-0003-2433-5676"},"institutions":[{"id":"https://openalex.org/I153954893","display_name":"Jaypee University of Information Technology","ror":"https://ror.org/00hshrf16","country_code":"IN","type":"education","lineage":["https://openalex.org/I153954893"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Urvashi Sharma","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India","institution_ids":["https://openalex.org/I153954893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022426484","display_name":"Meenakshi Sood","orcid":"https://orcid.org/0000-0002-2422-2471"},"institutions":[{"id":"https://openalex.org/I4210094717","display_name":"National Institute of Technical Teachers Training and Research","ror":"https://ror.org/00rpc7w94","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210094717"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Meenakshi Sood","raw_affiliation_strings":["National Institute of Technical Teachers Training and Research, Chandigarh, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technical Teachers Training and Research, Chandigarh, India","institution_ids":["https://openalex.org/I4210094717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089630266","display_name":"Emjee Puthooran","orcid":"https://orcid.org/0000-0002-3339-5657"},"institutions":[{"id":"https://openalex.org/I153954893","display_name":"Jaypee University of Information Technology","ror":"https://ror.org/00hshrf16","country_code":"IN","type":"education","lineage":["https://openalex.org/I153954893"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Emjee Puthooran","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India","institution_ids":["https://openalex.org/I153954893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041458695"],"corresponding_institution_ids":["https://openalex.org/I153954893"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1193621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"02","first_page":"2150021","last_page":"2150021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759544849395752},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7484156489372253},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.6259323358535767},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5906888246536255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5592028498649597},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5583869814872742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5192041993141174},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5021088123321533},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.48827648162841797},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.43958359956741333},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4355945885181427},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.4114949107170105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3277672827243805},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24247616529464722},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23818904161453247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759544849395752},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7484156489372253},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.6259323358535767},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5906888246536255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5592028498649597},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5583869814872742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5192041993141174},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5021088123321533},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.48827648162841797},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.43958359956741333},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4355945885181427},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.4114949107170105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3277672827243805},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24247616529464722},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23818904161453247},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467821500212","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500212","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1968474638","https://openalex.org/W1988988532","https://openalex.org/W2030827383","https://openalex.org/W2070902993","https://openalex.org/W2086274422","https://openalex.org/W2096445898","https://openalex.org/W2099778990","https://openalex.org/W2137558935","https://openalex.org/W2153638435","https://openalex.org/W2166963105","https://openalex.org/W2168677750","https://openalex.org/W2170062168","https://openalex.org/W2467263662","https://openalex.org/W2503019132","https://openalex.org/W2512403983","https://openalex.org/W2622458132","https://openalex.org/W2889593906","https://openalex.org/W2953072779","https://openalex.org/W3011710451","https://openalex.org/W4206343787","https://openalex.org/W4231091991","https://openalex.org/W4231495641","https://openalex.org/W4231783022","https://openalex.org/W4247357110"],"related_works":["https://openalex.org/W3190486427","https://openalex.org/W4243959093","https://openalex.org/W2169405113","https://openalex.org/W1998280942","https://openalex.org/W1992410481","https://openalex.org/W1980149576","https://openalex.org/W2441603424","https://openalex.org/W2145138541","https://openalex.org/W2026465795","https://openalex.org/W2013943429"],"abstract_inverted_index":{"A":[0],"region":[1,22,37],"of":[2,18,23,46,62,145,162,168],"interest":[3],"(ROI)-based":[4],"compression":[5,52,57,67],"method":[6,53],"for":[7,94,129,142],"medical":[8,71],"image":[9,48,72,138],"datasets":[10],"is":[11,27,73,140],"a":[12,29,39,50],"requirement":[13],"to":[14,32,54,91],"maintain":[15],"the":[16,19,24,34,43,47,100,106,143,146,159,163],"quality":[17],"diagnostically":[20],"important":[21,36],"image.":[25],"It":[26],"always":[28],"better":[30],"option":[31],"compress":[33],"diagnostic":[35],"in":[38,75,166],"lossless":[40],"manner":[41],"and":[42,83,96,102,121,134,149,180,187],"remaining":[44],"portion":[45],"with":[49,110,116,123],"near-lossless":[51],"achieve":[55],"high":[56],"efficiency":[58],"without":[59],"any":[60],"compromise":[61],"quality.":[63],"The":[64,131],"predictive":[65],"ROI-based":[66],"on":[68,153],"volumetric":[69,132],"CT":[70,137,155],"proposed":[74,147,164],"this":[76],"paper;":[77],"resolution-independent":[78],"gradient":[79],"edge":[80],"detection":[81],"(RIGED)":[82],"block":[84,125],"adaptive":[85],"arithmetic":[86],"encoding":[87,97],"(BAAE)":[88],"are":[89,127,151],"employed":[90],"ROI":[92],"part":[93],"prediction":[95],"that":[98],"reduce":[99],"interpixel":[101],"coding":[103],"redundancy.":[104],"For":[105],"non-ROI":[107],"portion,":[108],"RIGED":[109],"an":[111],"optimal":[112,117,124],"threshold":[113],"value,":[114],"quantizer":[115],"[Formula:":[118],"see":[119],"text]-level":[120],"BAAE":[122],"size":[126],"utilized":[128,141],"compression.":[130],"8-bit":[133],"16-bit":[135],"standard":[136],"dataset":[139],"evaluation":[144],"technique,":[148],"results":[150],"validated":[152],"real-time":[154],"images":[156],"collected":[157],"from":[158],"hospital.":[160],"Performance":[161],"technique":[165],"terms":[167],"BPP":[169],"outperforms":[170],"existing":[171],"techniques":[172],"such":[173],"as":[174],"JPEG":[175],"2000,":[176],"M-CALIC,":[177],"JPEG-LS,":[178],"CALIC":[179],"JP3D":[181],"by":[182],"20.31%,":[183],"19.87%,":[184],"17.77%,":[185],"15.58%":[186],"13.66%,":[188],"respectively.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
